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Incorporating cultural factors in a decision making model for the planning of U.S. military operations

机译:在5号决策模型中纳入文化因素,为美国军事行动规划

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U.S. military decision making and operational planning often does not account for cultural factors. A review of past military operations shows that in many cases failure to account for a region's cultural factors resulted in failure to achieve success in strategic mission objectives. Further analysis showed a significant increase in success rates for operations that accounted for cultural factors. This work aims to improve U.S. military decision making and operational planning by automating the collection of cultural data into a Cultural Factor Identification Tool (CFIT). The cultural data in CFIT is focused primarily at the country level and is gathered through open-source methods. These methods include collecting articles related to different countries and incidents and then parsing them to find frequencies of keywords. This frequency counts provide the input data for three different predictive approaches for generating factor specific, culture metrics. When converted into these metrics, cultural factors can be integrated within more sophisticated predictive models. Whether used within a larger model or on its own, the CFIT has the potential to significantly improve the quality of military decision making.
机译:美国军事决策和运营规划往往不会考虑文化因素。对过去的军事行动综述表明,在许多情况下,未能考虑到一个地区的文化因素导致在战略使命目标中取得成功。进一步的分析表明,占文化因素的业务的成功率显着增加。这项工作旨在通过将文化数据的集合自动化为文化因子识别工具(CFIT)来改善美国军事决策和运营规划。 CFIT中的文化数据主要集中在国家一级,并通过开源方法收集。这些方法包括收集与不同国家和事件相关的文章,然后解析它们以找到关键字的频率。该频率计数为三种不同预测方法提供了用于产生因子特异性,文化指标的输入数据。当转换为这些指标时,文化因子可以集成在更复杂的预测模型中。无论是在更大的模型还是自行,CFIT都有可能显着提高军事决策质量。

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